Thank you for downloading the dashboard tutorial. In this document the basic functionality of the MB COVID-19 dashboard is explained and shown with examples. The intention of this document is not to explain data elements, rather how to use the dashboard to dive into the data that is contained within the dashboard. Data notes explaining specific data elements are found within the application itself, and how to find these will be explained in the below document. If there are still questions after reviewing this document, please forward any questions to PIMA@gov.mb.ca.
On most pages, there are a variety of tools such as dropdown boxes, check boxes, and buttons that allow the user to filter or select the data that is of interest. This will alter data elements, plots, and data tables on the page that is being viewed. For instance RHA specific elements can usually be obtained by using these tools.
Drop down boxes:
Check boxes:
Buttons:
Many of these options work in tandem with each other, i.e. filtering with one dropdown will simultaneously filter with another dropdown. Also, certain tools will only be visible to the user if a specific value of another dropdown is selected. This is due to certain filtering options are only available if another filter has been set.
Maps within the dashboard are fully interactive. Meaning zooming using a mouse scroll-wheel, or click and dragging are built into the map. Clicking on map elements will also bring up pop-ups with further data specific to the region clicked on. An example of this is shown below:
Many of the pages within the dashboard contain a “Data” tab. Within these data tabs contain an interactive data table of the data that is visually displayed on the other tabs on the page. The main user inputs for these tables consist of sorting by column values, and searching for values within the table.
Sort by column:
Search by table value:
Many of the pages within the dashboard contain a plot or many plots of various different types. These plots are largely interactive, and have different features such as hovering to obtain data values, zoom, show/hide legend features, and exporting as a .png file.
Hovering over the plot will reveal information about the individual data items contained within the plot. There are also different options for the hover. The default option for most plots is to compare data elements, but this can be switched to only showing the element that is being hovered over.
Comparison hovering:
Value hovering:
Plots can be zoomed in a couple of different ways. The main way for plots showing temporal data is to use the sliders along the bottom of the plot. This will zoom the plot to a specific time range.
Zooming can also be done through the tools on the top right of the plot, as well as simply click and drag selecting areas on the plot.
Like much of the main part of the plot, the legend itself is also interactive. To hide a legend feature, simply click to hide it, and click on it again to re-show it. Double clicking on a feature will isolate that feature.
After a plot has been explored, the user can export the view they selected as a static image file.
All data contained within plots is downloadable as .csv files. Download buttons can be found on the bottom of nearly every page. Some exceptions are present. For these exceptions, the download button can be found by navigating to the data tab of a page, and selecting through a dropdown menu the data that is of interest to download.
The last page of each of the 4 main themes has a “Data Notes” page. This is where information specific to the data contained within each theme can be found. An “About” page is also available, where additional meta-data for the dashboard can be found.
A feature of the dashboard is the interactive report generator. At this point in time this section is a bit limited. But does contain static reports that are automatically updated with the most up-to-date data and can be downloaded by the user.